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NTT Data

Global IT services and consulting provider.

Data Engineer Senior Consultant

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • 3–6 years of experience in data engineering, ETL development, or application/data platform development.
  • Hands-on experience with Databricks and Apache Spark.
  • Strong development skills in Python/PySpark and SQL.
  • Experience with Databricks notebooks, Spark SQL or Databricks SQL, Delta Lake, and Databricks Jobs/Workflows.
  • Experience developing batch or incremental ETL/ELT pipelines.
  • Experience with one or more ETL technologies such as Informatica PowerCenter, AWS Glue, SSIS, or similar.
  • Experience working with relational databases and SQL-based data processing.
  • Understanding of data transformation, source-to-target mapping, and ETL development.
  • Experience with unit testing, data validation, and troubleshooting.
  • Basic understanding of Bronze/Silver/Gold or other layered data architectures.
  • Ability to work within an established development framework and follow coding standards.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.

Responsibilities

  • Analyze existing Informatica workflows, mappings, and AWS Glue jobs to understand source-to-target mappings and transformation logic.
  • Develop Databricks notebooks and data pipelines to migrate existing ETL workloads to the Databricks Lakehouse.
  • Develop data transformations using Python, PySpark, Spark SQL, and Databricks SQL.
  • Implement Bronze, Silver, and Gold layer processing following established project architecture and coding patterns.
  • Develop batch and incremental processing pipelines using Delta Lake and established watermark/control mechanisms.
  • Develop and maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines as required.
  • Reuse common project frameworks for logging, auditing, data quality, error handling, and notifications.
  • Convert Informatica transformations, mappings, lookups, and business rules into equivalent Databricks implementations while preserving existing business logic.
  • Support migration of AWS Glue jobs and database-based processing into Databricks.
  • Perform unit testing and source-to-target data reconciliation for migrated pipelines.
  • Investigate and resolve data, SQL, PySpark, and pipeline execution issues.
  • Support integration testing, regression testing, UAT, and production validation.
  • Work with senior developers and technical leads to resolve technical issues and dependencies.
  • Follow established coding, performance, security, and development standards.
  • Participate in code reviews and incorporate review feedback.
  • Prepare technical documentation and support knowledge transfer for migrated workloads.
  • Support deployment, monitoring, production stabilization, and cutover activities.

Desired Qualifications

  • Databricks certification.
  • Experience with Lakeflow Declarative Pipelines or Delta Live Tables.
  • Experience with Unity Catalog.
  • Experience with Databricks Asset Bundles and CI/CD.
  • Experience with AWS S3, Glue, and Redshift.
  • Experience with Auto Loader or streaming ingestion.
  • Experience with CDC and SCD Type 1/Type 2 processing.
  • Experience with data quality, audit, and error-handling frameworks.
  • Experience with Informatica PowerCenter mappings/workflows.
  • Experience with AWS services including S3, Glue, Lambda, and Redshift.
  • Experience with Spark/Delta performance optimization.
  • Experience working in a cloud data modernization or migration project.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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